Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Aanchna Sharma"'
Autor:
Sanjay Mavinkere Rangappa, Aanchna Sharma, Suchart Siengchin, Tanmoy Mukhopadhyay, Vinod Kushvaha
Publikováno v:
Archives of Computational Methods in Engineering. 29:3341-3385
The superior multi-functional properties of polymer composites have made them an ideal choice for aerospace, automobile, marine, civil, and many other technologically demanding industries. The increasing demand of these composites calls for an extens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7263b892da99258cd2d51cfbdde31edd
https://doi.org/10.1007/s11831-021-09700-9
https://doi.org/10.1007/s11831-021-09700-9
Publikováno v:
International Journal of Fatigue. 170:107542
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a379f511663c8930bd91c262b7ba125
https://doi.org/10.1016/j.ijfatigue.2023.107542
https://doi.org/10.1016/j.ijfatigue.2023.107542
Publikováno v:
Journal of Failure Analysis and Prevention. 20:2017-2028
Nano-filler strengthened fiber reinforced polymer-based composite repair systems are recently being used as a promising solution for repair and rehabilitation of transmission pipelines. To increase the efficiency of pipeline repair system using these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db13e693594bade086061f4494a7a2c1
https://doi.org/10.1007/s11668-020-01013-6
https://doi.org/10.1007/s11668-020-01013-6
Publikováno v:
Journal of Composite Materials. 54:3099-3108
In this paper, the artificial neural network technique using a multi-layer perceptron feed forward scheme was used to model and predict the mode-I fracture behaviour of particulate polymer composites when subjected to impact loading. A neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5310b03e97c3db75776e0decc011f3e
https://doi.org/10.1177/0021998320911418
https://doi.org/10.1177/0021998320911418
Autor:
Aanchna Sharma, Vinod Kushvaha
Publikováno v:
Machine Learning Applied to Composite Materials ISBN: 9789811962776
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9a12ae05bf3db946b14eaa7e155c22f
https://doi.org/10.1007/978-981-19-6278-3_1
https://doi.org/10.1007/978-981-19-6278-3_1
Publikováno v:
Handbook of Epoxy/Fiber Composites ISBN: 9789811581410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98ac4f62459886534ee6bab8721e5e89
https://doi.org/10.1007/978-981-19-3603-6_6
https://doi.org/10.1007/978-981-19-3603-6_6
Autor:
Aanchna Sharma, Vinod Kushvaha
Publikováno v:
Fracture Failure Analysis of Fiber Reinforced Polymer Matrix Composites ISBN: 9789811606410
In the current study, a methodology of dimensional analysis based on Buckingham-pi theorem is presented to determine the dynamic fracture behavior of glass filled epoxy composites. Rod shaped glass fillers having an aspect ratio of 80 have been used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ce5c94e6509fb39a9fc27a11b6a641a
https://doi.org/10.1007/978-981-16-0642-7_7
https://doi.org/10.1007/978-981-16-0642-7_7
Publikováno v:
Springer Series in Advanced Manufacturing ISBN: 9789811631832
Additive manufacturing (AM) is a novel approach which offers serious advantages over conventional subtractive manufacturing techniques. Minimum resource wastage and quick fabrication are the primary benefits of additive manufacturing. In the recent y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcc96985bd8b1cbbfbdaeecca21e2b70
https://doi.org/10.1007/978-981-16-3184-9_8
https://doi.org/10.1007/978-981-16-3184-9_8
Publikováno v:
Journal of Hazardous, Toxic, and Radioactive Waste. 24
The objective of this study was to predict biochar properties [surface area and oxygen-to-carbon (O/C) and hydrogen-to-carbon (H/C) ratios] from pyrolysis conditions, volatile matter conte...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75c5dad1a7ecec0312257729e3629da5
https://doi.org/10.1061/(asce)hz.2153-5515.0000545
https://doi.org/10.1061/(asce)hz.2153-5515.0000545
Publikováno v:
2020 International Conference on Computational Performance Evaluation (ComPE).
The mechanical behavior of particle reinforced polymer composites depends largely on the properties of the particles used to reinforce it. Geometrical properties such as shape and size (aspect ratio) have a vital part in deciding the behavior of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1c74619682ab4683be192412abdc88f
https://doi.org/10.1109/compe49325.2020.9200093
https://doi.org/10.1109/compe49325.2020.9200093